Machine Learning with Python
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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.

Admin: @HusseinSheikho || @Hussein_Sheikho
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python-interview-questions.pdf
1.2 MB
100 Python Interview Questions and Answers

This book is a practical guide to mastering Python interview preparation. It contains 100 carefully curated questions with clear, concise answers designed in a quick-reference style.

#Python #PythonTips #PythonProgramming

https://t.me/CodeProgrammer
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Tip for clean code in Python:

Use Dataclasses for classes that primarily store data. The @dataclass decorator automatically generates special methods like __init__(), __repr__(), and __eq__(), reducing boilerplate code and making your intent clearer.

from dataclasses import dataclass

# --- BEFORE: Using a standard class ---
# A lot of boilerplate code is needed for basic functionality.

class ProductOld:
def __init__(self, name: str, price: float, sku: str):
self.name = name
self.price = price
self.sku = sku

def __repr__(self):
return f"ProductOld(name='{self.name}', price={self.price}, sku='{self.sku}')"

def __eq__(self, other):
if not isinstance(other, ProductOld):
return NotImplemented
return (self.name, self.price, self.sku) == (other.name, other.price, other.sku)

# Example Usage
product_a = ProductOld("Laptop", 1200.00, "LP-123")
product_b = ProductOld("Laptop", 1200.00, "LP-123")

print(product_a) # Output: ProductOld(name='Laptop', price=1200.0, sku='LP-123')
print(product_a == product_b) # Output: True


# --- AFTER: Using a dataclass ---
# The code is concise, readable, and less error-prone.

@dataclass(frozen=True) # frozen=True makes instances immutable
class Product:
name: str
price: float
sku: str

# Example Usage
product_c = Product("Laptop", 1200.00, "LP-123")
product_d = Product("Laptop", 1200.00, "LP-123")

print(product_c) # Output: Product(name='Laptop', price=1200.0, sku='LP-123')
print(product_c == product_d) # Output: True


#Python #CleanCode #ProgrammingTips #SoftwareDevelopment #Dataclasses #CodeQuality

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By: @CodeProgrammer โœจ
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Forwarded from Machine Learning
๐Ÿ“Œ PyTorch Tutorial for Beginners: Build a Multiple Regression Model from Scratch

๐Ÿ—‚ Category: DEEP LEARNING

๐Ÿ•’ Date: 2025-11-19 | โฑ๏ธ Read time: 14 min read

Dive into PyTorch with this hands-on tutorial for beginners. Learn to build a multiple regression model from the ground up using a 3-layer neural network. This guide provides a practical, step-by-step approach to machine learning with PyTorch, ideal for those new to the framework.

#PyTorch #MachineLearning #NeuralNetwork #Regression #Python
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Comprehensive Python Cheatsheet.pdf
6.3 MB
Comprehensive Python Cheatsheet

This Comprehensive #Python Cheatsheet brings together core syntax, data structures, functions, #OOP, decorators, regular expressions, libraries, and more โ€” neatly organized for quick reference and deep understanding.

https://t.me/CodeProgrammer
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All Cheat Sheets Collection (3).pdf
2.7 MB
Python For Data Science Cheat Sheet

#python #datascience #DataAnalysis

https://t.me/CodeProgrammer

React โ™ฅ๏ธ for more amazing content
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Numpy @CodeProgrammer.pdf
2.4 MB
๐Ÿท Sections of the ยซNumPyยป library
โฌ…๏ธ From introductory to advanced


๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป This is a long-term project to learn Python and NumPy from scratch. The main task is to handle numerical #data and #arrays in #Python using NumPy, and many other libraries are also used.


โœ๏ธ This section shows a structured and complete path for learning #NumPy; but the code examples and exercises help to practically memorize the concepts.


โญ•๏ธ Introduction to NumPy
๐ŸŸ  NumPy arrays
โญ•๏ธ Introduction to array features
๐ŸŸ  Basic operations on arrays
โญ•๏ธ Functions for statistical and aggregative purposes
๐ŸŸ  And...

https://t.me/CodeProgrammer โ›ˆโšก๏ธ
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Mastering pandas%22.pdf
1.6 MB
๐ŸŒŸ A new and comprehensive book "Mastering pandas"

๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป If I've worked with messy and error-prone data this time, I don't know how much time and energy I've wasted. Incomplete tables, repetitive records, and unorganized data. Exactly the kind of things that make analysis difficult and frustrate you.

โฌ…๏ธ And the only way to save yourself is to use pandas! A tool that makes processes 10 times faster.

๐Ÿท This book is a comprehensive and organized guide to pandas, so you can start from scratch and gradually master this library and gain the ability to implement real projects. In this file, you'll learn:

๐Ÿ”น How to clean and prepare large amounts of data for analysis,

๐Ÿ”น How to analyze real business data and draw conclusions,

๐Ÿ”น How to automate repetitive tasks with a few lines of code,

๐Ÿ”น And improve the speed and accuracy of your analyses significantly.

๐ŸŒ #DataScience #DataScience #Pandas #Python

https://t.me/CodeProgrammer โšก๏ธ
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Real Python.pdf
332 KB
Real Python - Pocket Reference (Important)

#python #py #PythonTips #programming

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The #Python library #PandasAI has been released for simplified data analysis using AI.

You can ask questions about the dataset in plain language directly in the #AI dialogue, compare different datasets, and create graphs. It saves a lot of time, especially in the initial stage of getting acquainted with the data. It supports #CSV, #SQL, and Parquet.

And here's the link ๐Ÿ˜

๐Ÿ‘‰ https://t.me/CodeProgrammer
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I'm happy to announce that freeCodeCamp has launched a new certification in #Python ๐Ÿ

ยป Learning the basics of programming
ยป Project development
ยป Final exam
ยป Obtaining a certificate

Everything takes place directly in the browser, without installation. This is one of the six certificates in version 10 of the Full Stack Developer training program.

Full announcement with a detailed FAQ about the certificate, the course, and the exams
Link: https://www.freecodecamp.org/news/freecodecamps-new-python-certification-is-now-live/

๐Ÿ‘‰ @codeprogrammer
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